{"id":"https://openalex.org/W3204867994","doi":"https://doi.org/10.1109/tmi.2021.3116879","title":"SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images","display_name":"SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3204867994","doi":"https://doi.org/10.1109/tmi.2021.3116879","mag":"3204867994","pmid":"https://pubmed.ncbi.nlm.nih.gov/34587005"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3116879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3116879","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmi.2021.3116879","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Malte Hoffmann","orcid":"https://orcid.org/0000-0002-5511-0739"},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Malte Hoffmann","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA. (e-mail: mhoffmann@mgh.harvard.edu)"],"raw_orcid":"https://orcid.org/0000-0002-5511-0739","affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA. (e-mail: mhoffmann@mgh.harvard.edu)","institution_ids":["https://openalex.org/I4210127055"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Benjamin Billot","orcid":"https://orcid.org/0000-0002-3018-1282"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Benjamin Billot","raw_affiliation_strings":["Centre for Medical Image Computing, University College London, WC1E. 6BT, UK"],"raw_orcid":"https://orcid.org/0000-0002-3018-1282","affiliations":[{"raw_affiliation_string":"Centre for Medical Image Computing, University College London, WC1E. 6BT, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Douglas N. Greve","orcid":"https://orcid.org/0000-0002-0610-0155"},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas N. Greve","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA"],"raw_orcid":"https://orcid.org/0000-0002-0610-0155","affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA","institution_ids":["https://openalex.org/I4210127055"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Juan Eugenio Iglesias","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Juan Eugenio Iglesias","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA and Centre for Medical Image Computing, University College London, WC1E. 6BT, UK and Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA and Centre for Medical Image Computing, University College London, WC1E. 6BT, UK and Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I45129253","https://openalex.org/I4210127055"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bruce Fischl","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Fischl","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA and Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA and Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I4210127055"]}]},{"author_position":"last","author":{"id":null,"display_name":"Adrian V. Dalca","orcid":"https://orcid.org/0000-0002-8422-0136"},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adrian V. Dalca","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA and Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA"],"raw_orcid":"https://orcid.org/0000-0002-8422-0136","affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA and with the Department of Radiology, Harvard Medical School, Boston, MA 02115, USA and Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139, USA","institution_ids":["https://openalex.org/I4210127055"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210127055"],"apc_list":null,"apc_paid":null,"fwci":8.2434,"has_fulltext":false,"cited_by_count":178,"citation_normalized_percentile":{"value":0.98363355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"41","issue":"3","first_page":"543","last_page":"558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6032999753952026,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6032999753952026,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.10779999941587448,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0885000005364418,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6762999892234802},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5182999968528748},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41690000891685486},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4153999984264374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4146000146865845},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.39820000529289246},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3910999894142151},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37209999561309814},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.36039999127388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753000259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7692999839782715},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6762999892234802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6190999746322632},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5182999968528748},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3910999894142151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.32120001316070557},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.3075000047683716},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2994999885559082},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26980000734329224},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25099998712539673}],"mesh":[{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2021.3116879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3116879","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2004.10282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10282","pdf_url":"https://arxiv.org/pdf/2004.10282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},{"id":"pmid:34587005","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34587005","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8891043","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8891043","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/tmi.2021.3116879","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3116879","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1162822636","display_name":null,"funder_award_id":"U01 MH117023","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G1840865139","display_name":null,"funder_award_id":"U24 NS10059103","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G1848923949","display_name":null,"funder_award_id":"K99 HD101553","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G2058492296","display_name":null,"funder_award_id":"R01 NS083534","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G3073152636","display_name":null,"funder_award_id":"P41 EB015896","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G3336587530","display_name":null,"funder_award_id":"R21 NS072652","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G3382955721","display_name":null,"funder_award_id":"1RF1MH123195-01","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G3720150018","display_name":null,"funder_award_id":"R56 AG064027","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G3845940603","display_name":null,"funder_award_id":"S10 RR023401","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G4048077791","display_name":null,"funder_award_id":"R01 EB023281","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G462471744","display_name":null,"funder_award_id":"R01 AG064027","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G4855806144","display_name":null,"funder_award_id":"U01 AG052564","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G5421070557","display_name":null,"funder_award_id":"U01 NS086625","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G6062652376","display_name":null,"funder_award_id":"R01 EB019956","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G6073090889","display_name":null,"funder_award_id":"ARUK-IRG2019A-003","funder_id":"https://openalex.org/F4320321081","funder_display_name":"Alzheimer\u2019s Research UK"},{"id":"https://openalex.org/G6226509807","display_name":null,"funder_award_id":"1R01 AG070988-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6845461103","display_name":null,"funder_award_id":"R01 NS105820","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G7056481868","display_name":null,"funder_award_id":"S10 RR023043","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G7788694070","display_name":null,"funder_award_id":"R01 NS0525851","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G8257892719","display_name":null,"funder_award_id":"S10 RR019307","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G8364462583","display_name":null,"funder_award_id":"R01 AG016495","funder_id":"https://openalex.org/F4320337375","funder_display_name":"National Center for Research Resources"},{"id":"https://openalex.org/G8538380161","display_name":null,"funder_award_id":"677697","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320321081","display_name":"Alzheimer\u2019s Research UK","ror":"https://ror.org/02ymzm013"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1499375359","https://openalex.org/W1508195517","https://openalex.org/W1524894299","https://openalex.org/W1565379095","https://openalex.org/W1579576867","https://openalex.org/W1605218991","https://openalex.org/W1870947790","https://openalex.org/W1874027545","https://openalex.org/W1901129140","https://openalex.org/W1967017514","https://openalex.org/W1970928383","https://openalex.org/W1975113842","https://openalex.org/W1983592655","https://openalex.org/W1985487562","https://openalex.org/W1987175346","https://openalex.org/W1987869189","https://openalex.org/W1988366576","https://openalex.org/W2004293194","https://openalex.org/W2008101963","https://openalex.org/W2016974693","https://openalex.org/W2025189503","https://openalex.org/W2029098063","https://openalex.org/W2067482652","https://openalex.org/W2077008573","https://openalex.org/W2082218291","https://openalex.org/W2082704080","https://openalex.org/W2096104495","https://openalex.org/W2102099319","https://openalex.org/W2103481737","https://openalex.org/W2103857226","https://openalex.org/W2105552075","https://openalex.org/W2107956652","https://openalex.org/W2112995297","https://openalex.org/W2113576511","https://openalex.org/W2125113735","https://openalex.org/W2127735446","https://openalex.org/W2130686832","https://openalex.org/W2133016346","https://openalex.org/W2136573752","https://openalex.org/W2150534249","https://openalex.org/W2155298532","https://openalex.org/W2161198695","https://openalex.org/W2161557710","https://openalex.org/W2162630772","https://openalex.org/W2166631541","https://openalex.org/W2167343814","https://openalex.org/W2170167891","https://openalex.org/W2344270078","https://openalex.org/W2413073178","https://openalex.org/W2468766697","https://openalex.org/W2514101822","https://openalex.org/W2538369455","https://openalex.org/W2562469482","https://openalex.org/W2604920239","https://openalex.org/W2608822622","https://openalex.org/W2751297520","https://openalex.org/W2752785527","https://openalex.org/W2753461941","https://openalex.org/W2767463438","https://openalex.org/W2816936748","https://openalex.org/W2891590469","https://openalex.org/W2891631795","https://openalex.org/W2893411620","https://openalex.org/W2896555885","https://openalex.org/W2898403737","https://openalex.org/W2903264520","https://openalex.org/W2904555209","https://openalex.org/W2922479016","https://openalex.org/W2923212559","https://openalex.org/W2940648811","https://openalex.org/W2962736273","https://openalex.org/W2962914239","https://openalex.org/W2963341239","https://openalex.org/W2964250774","https://openalex.org/W2980131665","https://openalex.org/W2991885443","https://openalex.org/W3004271373","https://openalex.org/W3025317003","https://openalex.org/W3092138472","https://openalex.org/W3164490521","https://openalex.org/W3176521625","https://openalex.org/W4230920194","https://openalex.org/W4241074797","https://openalex.org/W4255412223","https://openalex.org/W6628534423","https://openalex.org/W6631190155","https://openalex.org/W6670692413","https://openalex.org/W6713134421","https://openalex.org/W6743582866","https://openalex.org/W6753548976","https://openalex.org/W6755155914","https://openalex.org/W6766824746","https://openalex.org/W6774266105","https://openalex.org/W6780115461"],"related_works":[],"abstract_inverted_index":{"We":[0,68,121,157],"introduce":[1],"a":[2,79,93,115,126,173],"strategy":[3,81,134],"for":[4,40,82,206,226],"learning":[5],"image":[6,43],"registration":[7,26,139,159],"without":[8],"acquired":[9,193],"imaging":[10,22],"data,":[11],"producing":[12],"powerful":[13,109],"networks":[14,91,110,154],"agnostic":[15],"to":[16,54,63,70,92,100,114],"contrast":[17,148],"introduced":[18],"by":[19,77,152],"magnetic":[20],"resonance":[21],"(MRI).":[23],"While":[24],"classical":[25],"methods":[27],"accurately":[28,112],"estimate":[29],"the":[30,146,153,162,165,190,207,224],"spatial":[31],"correspondence":[32],"between":[33],"images,":[34],"they":[35],"solve":[36],"an":[37],"optimization":[38],"problem":[39],"every":[41],"new":[42],"pair.":[44],"Learning-based":[45],"techniques":[46],"are":[47,203],"fast":[48],"at":[49,234],"test":[50],"time":[51],"but":[52],"limited":[53],"registering":[55],"images":[56,88,215],"with":[57,125],"contrasts":[58,143],"and":[59,87,137,169],"geometric":[60],"content":[61],"similar":[62],"those":[64],"seen":[65,151],"during":[66,155],"training.":[67,156],"propose":[69],"remove":[71],"this":[72,133],"dependency":[73,191],"on":[74,128,178,192],"training":[75,177],"data":[76,194],"leveraging":[78],"generative":[80],"diverse":[83],"synthetic":[84],"label":[85,201],"maps":[86,202],"that":[89,111,132,213],"exposes":[90],"wide":[94],"range":[95],"of":[96,118,140,164,195,209],"variability,":[97],"forcing":[98],"them":[99],"learn":[101],"more":[102],"invariant":[103],"features.":[104],"This":[105],"approach":[106],"results":[107,185],"in":[108,186],"generalize":[113],"broad":[116],"array":[117],"MRI":[119,142],"contrasts.":[120],"present":[122],"extensive":[123],"experiments":[124],"focus":[127],"3D":[129],"neuroimaging,":[130],"showing":[131],"enables":[135],"robust":[136],"accurate":[138],"arbitrary":[141,179],"even":[144],"if":[145],"target":[147],"is":[149,232],"not":[150],"demonstrate":[158],"accuracy":[160],"surpassing":[161],"state":[163],"art":[166],"both":[167],"within":[168],"across":[170],"contrasts,":[171],"using":[172],"single":[174],"model.":[175],"Critically,":[176],"shapes":[180],"synthesized":[181],"from":[182,216],"noise":[183],"distributions":[184],"competitive":[187],"performance,":[188,220],"removing":[189],"any":[196],"kind.":[197],"Additionally,":[198],"since":[199],"anatomical":[200],"often":[204],"available":[205,233],"anatomy":[208],"interest,":[210],"we":[211],"show":[212],"synthesizing":[214],"these":[217],"dramatically":[218],"boosts":[219],"while":[221],"still":[222],"avoiding":[223],"need":[225],"real":[227],"intensity":[228],"images.":[229],"Our":[230],"code":[231],"doic":[235],"https://w3id.org/synthmorph.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":66},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":10},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2021-10-11T00:00:00"}
